CN103278825B - Method for determining satellite navigation signal quality evaluation parameters - Google Patents
Method for determining satellite navigation signal quality evaluation parameters Download PDFInfo
- Publication number
- CN103278825B CN103278825B CN201310158618.6A CN201310158618A CN103278825B CN 103278825 B CN103278825 B CN 103278825B CN 201310158618 A CN201310158618 A CN 201310158618A CN 103278825 B CN103278825 B CN 103278825B
- Authority
- CN
- China
- Prior art keywords
- pseudo
- signal
- phase
- code
- navigation signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
The invention provides a method for determining satellite navigation signal quality evaluation parameters. The satellite navigation signal quality evaluation parameters comprise Gabor bandwidth, error vector magnitude (EVM), amplitude error, phase error, pseudo-code consistency, phase deviation, phase loss, S curve offset and delay stability. By changing an ideal pseudo-code generating mode, common spread spectrum signals such as binary phase shift keying (BPSK) and quadrature phase shift keying (QPSK) can be evaluated, various special navigation signals such as binary offset carrier (BOC), alternate binary offset carrier (AltBoc), time division alternate binary offset carrier (Td-AltBoc) and time multiplexed binary offset carrier (TMBOC) can be evaluated; and by the high-precision evaluation of pseudo-code phase and carrier phase, each evaluation item of the navigation signals can be highly precisely evaluated, and the requirement on navigation satellite effective load testing can be met.
Description
Technical field
The present invention relates to a kind of defining method of satellite navigation signals quality assessment parameter, belong to technical field of satellite navigation.
Background technology
In the development process of Navsat useful load, for verifying the correctness of navigation signal, investigating the distortion of signal generative process introducing, need a kind of satellite navigation signals method for evaluating quality; In Navsat in orbit process, be the navigation signal quality that monitor satellite is broadcast, also need a kind of navigation signal method for evaluating quality.
At present, satellite navigation signals quality evaluation can be carried out by the following method:
Method 1, utilizes the method for commonality vector signal analyzer;
Method 2, utilizes the method for hardware or software receiver;
Method 3, utilizes the method that baseband signal gathers.
But carry out navigation signal quality evaluation by above-mentioned 3 kinds of methods, there are the following problems: (1) only to general spread-spectrum signal, as BPSK, QPSK etc. assess, can cannot assess the navigation signal of specific type, as AltBoc, TMBOC etc.(2) Evaluation accuracy is lower, only can meet the needs of the navigation signal that monitor satellite is broadcast, and cannot meet the needs of Navsat useful load test; (3) only can evaluation part index item, the technical indicator such as associated loss, S curve skew cannot be assessed.
Summary of the invention
Technology of the present invention is dealt with problems and is: overcome the deficiencies in the prior art, provide a kind of defining method of satellite navigation signals quality assessment parameter, can assess various types of navigation, Evaluation accuracy can be improved, and there is wider scope of assessment, can assess indexs such as associated loss, S curve skews.
Technical solution of the present invention is:
A defining method for satellite navigation signals quality assessment parameter, described satellite navigation signals quality assessment parameter comprises Gabor bandwidth, error vector magnitude EVM, range error, phase error, pseudo-code consistance, phase deviation, associated loss, S curve skew and delay stability of time;
Concrete steps are as follows:
(1) sample frequency f is set
s, utilize satellite navigation signals generated clock source, generate sampled clock signal and pps pulse per second signal, same source sampling is carried out to described satellite navigation signals, obtain the navigation signal after sampling;
(2) utilize the navigation signal after sampling, carry out the spectra calculation of navigation signal, and calculate Gabor bandwidth;
(3) time delay of each road pseudo-code relative to sampling start time and the carrier phase of each road pseudo-code in the navigation signal after calculating sampling, described pseudo-code is pseudo-code phase relative to the time delay of sampling start time;
(4) carrier phase that step (3) draws is utilized, generate cosine and sinusoidal carrier, peel off the carrier wave in navigation signal, obtain I roadbed band navigation signal and Q roadbed band navigation signal, draw eye pattern and planisphere, calculate the error vector magnitude EVM of navigation signal, range error and phase error;
(5) utilize the pseudo-code phase that step (3) draws, calculate multichannel pseudo-code phase poor, determine pseudo-code consistance;
(6) utilize the carrier phase that step (3) draws, calculate multichannel carrier phase differential, calculate the phase deviation of component of signal;
(7) the base band navigation signal that the pseudo-code phase utilizing step (3) to draw and step (4) obtain, calculates associated loss;
(8) utilize the base band navigation signal that step (4) draws, draw the relevant peaks curve of navigation signal, calculate S curve skew;
(9) data of each collection after arriving to pulse per second (PPS) rising edge all utilize above-mentioned steps (3) to calculate pseudo-code phase, obtain the pseudo-code phase of 24 hours, utilize the pseudo-code phase calculation delay stability of 24 hours.
Carry out same source sampling described in step (1), comprise the following steps:
A () utilizes frequency synthesizer and the described clock source utilizing navigation signal to generate, the frequency described in generation step (1) is f
ssinusoidal signal;
B frequency is f by ()
ssinusoidal signal incoming radio frequency signal collecting device, as the clock signal of RF signal collection equipment;
C clock source that () utilizes waveform generator and navigation signal to generate, generates pps pulse per second signal, pulse per second (PPS) to be the cycle be two level signals of 1 second;
(d) by pps pulse per second signal incoming radio frequency signal collecting device, as the trigger pip of collecting device;
E () starts collecting device;
F () arranges drainage pattern:
(i), when pulse per second (PPS) rising edge arrives, start to gather;
(ii) acquisition time is the PN-code capture of the tested navigation signal of twice;
(iii) sample frequency is f
s;
(iv) after sampling terminates, data storage will be collected to obtain, wait for the arrival of pulse per second (PPS) rising edge next time, and start to gather next time;
(v) the whole collection duration is greater than 24 hours.
The carrier phase of each road pseudo-code and pseudo-code phase in calculating navigation signal described in step (3),
Comprise the following steps:
(3.1) iteration step length of pseudo-code phase and carrier phase is set;
(3.2) carry out carrier phase calculating, concrete steps are as follows:
(3.2.1) according to carrier phase iteration step length, cosine carrier and the sinusoidal carrier with different initial phases are set, carry out mixing with measured signal;
(3.2.2) two paths of signals after mixing is by wave digital lowpass filter, and obtain I roadbed band signal and Q roadbed band signal, the bandwidth of low-pass filter is set as 1.5 times of navigation signal bandwidth;
(3.2.3) generate pseudo-random code, and the I roadbed band signal that obtains of step (3.2.2) and Q roadbed band signal carry out related operation respectively, obtain I road related function and Q road related function;
(3.2.4) I road related function step (3.2.3) obtained and Q road related function are added, and offset the cross-correlation part in two-way related function;
(3.2.5) using the sum functions of two-way related function as likelihood function, carry out maximal possibility estimation, draw the maximum likelihood estimator of carrier phase;
(3.3) the pseudo-code phase step calculating each road pseudo-code in navigation signal is as follows:
(A) utilize the cosine carrier phase place that step (3.2) obtains, peel off the carrier wave in navigation signal, obtain base band navigation signal;
(B) according to pseudo-code phase iteration step length, the base band navigation signal obtained is set and is correlated with, obtain related function in the pseudo-code and step (3.2.1) with different initial phases;
(C) related function step (3.2.2) obtained, as likelihood function, carries out maximal possibility estimation, draws the maximum likelihood estimator of pseudo-code phase;
(3.4) judge whether the precision of pseudo-code phase and carrier phase meets the accuracy requirement of navigation signal quality evaluation, if the method for meeting terminates, if do not meet, after the iteration step length of pseudo-code phase and carrier phase is reduced into original 0.1 times, proceed to step (3.2).
Determine that pseudo-code consistance is specially in described step (5): with a road any in multichannel pseudo-code for reference, this road pseudo-code phase and other each road pseudo-code phase are subtracted each other, and the maximal value of difference is as pseudo-code consistance.
Calculate delay stability of time in described step (9) to be specially:
(5.1) utilize step (3) to obtain the pseudo-code phase of 24 hours, phase value number is 86400;
(5.2) by the pseudo-code phase of 24 hours in units of 100 o'clock, order divide into groups, obtain 864 groups;
(5.3) ask the mean value of interior 100 pseudo-codes of each group, obtain 864 mean values;
(5.4) maximal value of these 864 mean values is deducted minimum value, difference is as delay stability of time.
The present invention's advantage is compared with prior art:
(1) by changing the generating mode of desirable pseudo-code, general spread-spectrum signal can not only be assessed, as BPSK, QPSK etc., and the navigation signal of various specific type can be assessed, as BOC, AltBoc, Td-AltBoc and TMBOC etc.
(2) estimated by the high precision of pseudo-code phase and carrier phase, high precision test and appraisal can be carried out to each estimation items of navigation signal, the needs of Navsat useful load test can be met.
(3) can compose pilot signal power, the property indices such as eye pattern, planisphere, EVM, range error, phase error, pseudo-code consistance, component of signal phase deviation, associated loss and S curve skew assesses, index spreadability is wider.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the inventive method;
Fig. 2 is pseudo-code phase in the present invention and carrier phase estimation method process flow diagram;
Fig. 3 is the method flow diagram generating likelihood function during carrier phase is estimated.
Embodiment
Satellite navigation signals quality assessment parameter comprises Gabor bandwidth, error vector magnitude EVM, range error, phase error, pseudo-code consistance, phase deviation, associated loss, S curve skew and delay stability of time;
As shown in Figure 1, the defining method of satellite navigation signals quality assessment parameter provided by the invention, concrete steps are as follows:
(1) sample frequency f is set
s, utilize satellite navigation signals generated clock source, generate sampled clock signal and pps pulse per second signal, same source sampling is carried out to described satellite navigation signals, obtain the navigation signal after sampling;
Carry out same source sampling described in step (1), comprise the following steps:
A () utilizes frequency synthesizer and the described clock source utilizing navigation signal to generate, the frequency described in generation step (1) is f
ssinusoidal signal;
B frequency is f by ()
ssinusoidal signal incoming radio frequency signal collecting device, as the clock signal of RF signal collection equipment;
C clock source that () utilizes waveform generator and navigation signal to generate, generates pps pulse per second signal, pulse per second (PPS) to be the cycle be two level signals of 1 second;
(d) by pps pulse per second signal incoming radio frequency signal collecting device, as the trigger pip of collecting device;
E () starts collecting device;
F () arranges drainage pattern:
(i), when pulse per second (PPS) rising edge arrives, start to gather;
(ii) acquisition time is the PN-code capture of the tested navigation signal of twice;
(iii) sample frequency is f
s;
(iv) after sampling terminates, data storage will be collected to obtain, wait for the arrival of pulse per second (PPS) rising edge next time, and start to gather next time;
(v) the whole collection duration is greater than 24 hours;
(2) utilize the navigation signal after sampling, carry out the spectra calculation of navigation signal, and calculate Gabor bandwidth, the power Spectral Estimation of navigation signal can adopt welch period map method, but is not limited to the method;
(3) time delay of each road pseudo-code relative to sampling start time and the carrier phase of each road pseudo-code in the navigation signal after calculating sampling, described pseudo-code is pseudo-code phase relative to the time delay of sampling start time;
Calculate carrier phase and the pseudo-code phase of each road pseudo-code in navigation signal, as shown in Figure 2, comprise the following steps:
(3.1) iteration step length of pseudo-code phase and carrier phase is set;
(3.2) carry out carrier phase calculating, concrete steps are as follows:
(3.2.1) according to carrier phase iteration step length, cosine carrier and the sinusoidal carrier with different initial phases are set, carry out mixing with measured signal;
(3.2.2) two paths of signals after mixing is by wave digital lowpass filter, and obtain I roadbed band signal and Q roadbed band signal, the bandwidth of low-pass filter is set as 1.5 times of navigation signal bandwidth;
(3.2.3) generate pseudo-random code, and the I roadbed band signal that obtains of step (3.2.2) and Q roadbed band signal carry out related operation respectively, obtain I road related function and Q road related function;
(3.2.4) I road related function step (3.2.3) obtained and Q road related function are added, and offset the cross-correlation part in two-way related function;
(3.2.5) using the sum functions of two-way related function as likelihood function, carry out maximal possibility estimation, draw the maximum likelihood estimator of carrier phase;
Carrier phase correction is the carrier phase measurement deviation that the cross-correlation in order to remove due to code is introduced.Carrier phase correction has two kinds of methods:
(1) formula correction method: adopt following formula to correct carrier phase estimated value
Wherein, Δ θ is correcting value; Wherein I represents the conjunction road of each component of signal of branch road in the same way, and Q represents the conjunction road of each component of signal of quadrature branch, and Cor () represents related operation.
(2) impact that special carrier tracking loop eliminates cross-correlation is designed, see Fig. 3.
(3.3) the pseudo-code phase step calculating each road pseudo-code in navigation signal is as follows:
(A) utilize the cosine carrier phase place that step (3.2) obtains, peel off the carrier wave in navigation signal, obtain base band navigation signal;
(B) according to pseudo-code phase iteration step length, the base band navigation signal obtained is set and is correlated with, obtain related function in the pseudo-code and step (3.2.1) with different initial phases;
(C) related function step (3.2.2) obtained, as likelihood function, carries out maximal possibility estimation, draws the maximum likelihood estimator of pseudo-code phase;
Phase estimator calibration of the output results is the measured deviation that the cross-correlation in order to remove due to code is introduced.For this reason, when the spreading code that each road signal adopts is selected, can the code phase measuring deviation introduced of the cross-correlation of spreading code of calculated in advance Chu Ge road signal, and form form, when carrying out signal quality testing, correction test result of tabling look-up.
(3.4) judge whether the precision of pseudo-code phase and carrier phase meets the accuracy requirement of navigation signal quality evaluation, if the method for meeting terminates, if do not meet, after the iteration step length of pseudo-code phase and carrier phase is reduced into original 0.1 times, proceed to step (3.2);
(4) carrier phase that step (3) draws is utilized, generate cosine and sinusoidal carrier, peel off the carrier wave in navigation signal, obtain I roadbed band navigation signal and Q roadbed band navigation signal, draw eye pattern and planisphere, calculate the error vector magnitude EVM of navigation signal, range error and phase error;
The error vector magnitude EVM computing method of modulation signal are:
The computing method of range error are:
The computing method of phase error are:
(5) utilize the pseudo-code phase that step (3) draws, calculate multichannel pseudo-code phase poor, determine pseudo-code consistance;
Determine that pseudo-code consistance is specially: with a road any in multichannel pseudo-code for reference, this road pseudo-code phase and other each road pseudo-code phase are subtracted each other, and the maximal value of difference is as pseudo-code consistance;
(6) utilize the carrier phase that step (3) draws, calculate multichannel carrier phase differential, calculate the phase deviation of component of signal; Because the generation of satellite navigation signals adopts digital intermediate frequency modulation technique, the code that same carrier wave is modulated aligns when digital signal generates, and after first carrier wave Shang Ge road, same road pseudo-code merge, then carry out carrier modulation.Now, the phase deviation of gauge signal component, do not need the relation considering code phase, only need the carrier phase deviation weighing I road and Q road signal.Therefore, for digital medium-frequency signal generating mode, the phase deviation of gauge signal component, only need the phase relation considering I road carrier wave and Q road carrier wave.
(7) the base band navigation signal that the pseudo-code phase utilizing step (3) to draw and step (4) obtain, calculates associated loss;
The computing method of one-channel signal or the signal correction loss of conjunction road are:
Wherein,
S
bB-PreProct () is the baseband signal after down-converted, S
reft () is reference signal, T
pfor integration period, length equals the integral multiple in yard cycle.
A () is for one-channel signal:
● S
reft () is ideal baseband signal;
● S
ideal-PreProc(t) base band conjunction road signal for recovering from ideal signal;
● S
real-PreProc(t) base band conjunction road signal for recovering from measured signal.
B () is for conjunction road signal:
● S
reft () is desirable low-pass equivalent base band conjunction road signal;
● S
ideal-PreProc(t) base band conjunction road signal for recovering from ideal signal;
● S
real-PreProc(t) base band conjunction road signal for recovering from measured signal;
(8) utilize the base band navigation signal that step (4) draws, draw the relevant peaks curve of navigation signal, calculate S curve skew;
First the S curve of code Discr. is calculated:
Wherein, δ is coherence interval.SCurve (ε
bias(δ), δ)=0 time ε
bias(δ) be code phase when code ring is restrained.
The computing method of the SCB value of signal are:
SCB(δ)=ε
bias(δ)-ε
bias(0)
(9) data of each collection after arriving to pulse per second (PPS) rising edge all utilize above-mentioned steps (3) to calculate pseudo-code phase, obtain the pseudo-code phase of 24 hours, utilize the pseudo-code phase calculation delay stability of 24 hours;
Calculation delay stability is specially:
(9.1) utilize step (3) to obtain the pseudo-code phase of 24 hours, phase value number is 86400;
(9.2) by the pseudo-code phase of 24 hours in units of 100 o'clock, order divide into groups, obtain 864 groups;
(9.3) ask the mean value of interior 100 pseudo-codes of each group, obtain 864 mean values;
(9.4) maximal value of these 864 mean values is deducted minimum value, difference is as delay stability of time.
Claims (3)
1. a defining method for satellite navigation signals quality assessment parameter, is characterized in that: described satellite navigation signals quality assessment parameter comprises Gabor bandwidth, error vector magnitude EVM, range error, phase error, pseudo-code consistance, phase deviation, associated loss, S curve skew and delay stability of time;
Concrete steps are as follows:
(1) sample frequency f is set
s, utilize satellite navigation signals generated clock source, generate sampled clock signal and pps pulse per second signal, same source sampling is carried out to described satellite navigation signals, obtain the navigation signal after sampling;
(2) utilize the navigation signal after sampling, carry out the spectra calculation of navigation signal, and calculate Gabor bandwidth;
(3) time delay of each road pseudo-code relative to sampling start time and the carrier phase of each road pseudo-code in the navigation signal after calculating sampling, described pseudo-code is pseudo-code phase relative to the time delay of sampling start time;
The carrier phase of each road pseudo-code and pseudo-code phase in calculating navigation signal described in step (3), comprise the following steps:
(3.1) iteration step length of pseudo-code phase and carrier phase is set;
(3.2) carry out carrier phase calculating, concrete steps are as follows:
(3.2.1) according to carrier phase iteration step length, cosine carrier and the sinusoidal carrier with different initial phases are set, carry out mixing with measured signal;
(3.2.2) two paths of signals after mixing is by wave digital lowpass filter, and obtain I roadbed band signal and Q roadbed band signal, the bandwidth of low-pass filter is set as 1.5 times of navigation signal bandwidth;
(3.2.3) generate pseudo-random code, and the I roadbed band signal that obtains of step (3.2.2) and Q roadbed band signal carry out related operation respectively, obtain I road related function and Q road related function;
(3.2.4) I road related function step (3.2.3) obtained and Q road related function are added, and offset the cross-correlation part in two-way related function;
(3.2.5) using the sum functions of two-way related function as likelihood function, carry out maximal possibility estimation, draw the maximum likelihood estimator of carrier phase; Following formula is adopted to correct carrier phase estimated value
Wherein, Δ θ is correcting value; Wherein I represents the conjunction road of each component of signal of branch road in the same way, and Q represents the conjunction road of each component of signal of quadrature branch, and Cor () represents related operation;
(3.3) the pseudo-code phase step calculating each road pseudo-code in navigation signal is as follows:
(A) utilize the cosine carrier phase place that step (3.2) obtains, peel off the carrier wave in navigation signal, obtain base band navigation signal;
(B) according to pseudo-code phase iteration step length, the base band navigation signal obtained is set and is correlated with, obtain related function in the pseudo-code and step (3.2.1) with different initial phases;
(C) related function step (3.2.2) obtained, as likelihood function, carries out maximal possibility estimation, draws the maximum likelihood estimator of pseudo-code phase;
(3.4) judge whether the precision of pseudo-code phase and carrier phase meets the accuracy requirement of navigation signal quality evaluation, if the method for meeting terminates, if do not meet, after the iteration step length of pseudo-code phase and carrier phase is reduced into original 0.1 times, proceed to step (3.2);
(4) carrier phase that step (3) draws is utilized, generate cosine and sinusoidal carrier, peel off the carrier wave in navigation signal, obtain I roadbed band navigation signal and Q roadbed band navigation signal, draw eye pattern and planisphere, calculate the error vector magnitude EVM of navigation signal, range error and phase error;
(5) utilize the pseudo-code phase that step (3) draws, calculate multichannel pseudo-code phase poor, determine pseudo-code consistance;
(6) utilize the carrier phase that step (3) draws, calculate multichannel carrier phase differential, calculate the phase deviation of component of signal;
(7) the base band navigation signal that the pseudo-code phase utilizing step (3) to draw and step (4) obtain, calculates associated loss;
(8) utilize the base band navigation signal that step (4) draws, draw the relevant peaks curve of navigation signal, calculate S curve skew;
(9) data of each collection after arriving to pulse per second (PPS) rising edge all utilize above-mentioned steps (3) to calculate pseudo-code phase, obtain the pseudo-code phase of 24 hours, utilize the pseudo-code phase calculation delay stability of 24 hours;
Calculate delay stability of time in described step (9) to be specially:
(9.1) utilize step (3) to obtain the pseudo-code phase of 24 hours, phase value number is 86400;
(9.2) by the pseudo-code phase of 24 hours in units of 100 o'clock, order divide into groups, obtain 864 groups;
(9.3) ask the mean value of interior 100 pseudo-codes of each group, obtain 864 mean values;
(9.4) maximal value of these 864 mean values is deducted minimum value, difference is as delay stability of time.
2. the defining method of a kind of satellite navigation signals quality assessment parameter according to claim 1, is characterized in that: carry out same source sampling described in step (1), comprises the following steps:
A () utilizes frequency synthesizer and the described clock source utilizing navigation signal to generate, the frequency described in generation step (1) is f
ssinusoidal signal;
B frequency is f by ()
ssinusoidal signal incoming radio frequency signal collecting device, as the clock signal of RF signal collection equipment;
C clock source that () utilizes waveform generator and navigation signal to generate, generates pps pulse per second signal, pulse per second (PPS) to be the cycle be two level signals of 1 second;
(d) by pps pulse per second signal incoming radio frequency signal collecting device, as the trigger pip of collecting device;
E () starts collecting device;
F () arranges drainage pattern:
I (), when pulse per second (PPS) rising edge arrives, starts to gather;
(ii) acquisition time is the PN-code capture of the tested navigation signal of twice;
(iii) sample frequency is f
s;
(iv) after sampling terminates, data storage will be collected to obtain, wait for the arrival of pulse per second (PPS) rising edge next time, and start to gather next time;
V () whole collection duration is greater than 24 hours.
3. the defining method of a kind of satellite navigation signals quality assessment parameter according to claim 1, it is characterized in that: in described step (5), determine that pseudo-code consistance is specially: with a road any in multichannel pseudo-code for reference, this road pseudo-code phase and other each road pseudo-code phase are subtracted each other, and the maximal value of difference is as pseudo-code consistance.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310158618.6A CN103278825B (en) | 2013-05-02 | 2013-05-02 | Method for determining satellite navigation signal quality evaluation parameters |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310158618.6A CN103278825B (en) | 2013-05-02 | 2013-05-02 | Method for determining satellite navigation signal quality evaluation parameters |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103278825A CN103278825A (en) | 2013-09-04 |
CN103278825B true CN103278825B (en) | 2015-05-27 |
Family
ID=49061398
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310158618.6A Active CN103278825B (en) | 2013-05-02 | 2013-05-02 | Method for determining satellite navigation signal quality evaluation parameters |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103278825B (en) |
Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104297766B (en) * | 2014-10-27 | 2017-03-15 | 西安空间无线电技术研究所 | A kind of navigation signal associated loss assessment system and method based on monitoring receiver |
CN104459743B (en) * | 2014-11-27 | 2017-01-04 | 西安空间无线电技术研究所 | Carrier phase offset determination methods between a kind of coherent multicarrier modulated signal component |
CN106226793B (en) * | 2016-07-29 | 2019-01-15 | 北京空间飞行器总体设计部 | A kind of in-orbit navigation signal IQ phase equalization scaling method |
CN106803818B (en) * | 2016-12-08 | 2020-07-28 | 华中科技大学 | Method and device for receiving TD-AltBOC signal |
CN106908810B (en) * | 2017-01-13 | 2019-08-09 | 北京空间飞行器总体设计部 | It is a kind of how long code complex navigation signal phase consistency calibration method |
CN107621643B (en) * | 2017-08-25 | 2020-04-10 | 西安空间无线电技术研究所 | Method for accurately resolving relevant domain parameters suitable for navigation signal quality evaluation |
CN109143292B (en) * | 2018-07-26 | 2019-09-06 | 中国电子科技集团公司第二十九研究所 | A kind of the zero crossing displacement measuring method and equipment of navigation signal phase demodulation curve |
CN109067676B (en) * | 2018-08-14 | 2021-11-16 | 西安空间无线电技术研究所 | High-precision time domain performance evaluation method for satellite navigation signals |
CN109100757B (en) * | 2018-09-26 | 2022-09-02 | 中国科学院国家授时中心 | Novel satellite navigation signal quality evaluation method |
CN109239746B (en) * | 2018-10-15 | 2021-09-07 | 西安空间无线电技术研究所 | Simple real-time monitoring method and system for space GNSS signal related power loss |
CN111007550B (en) * | 2019-12-16 | 2020-07-28 | 中国人民解放军32021部队 | Satellite navigation ideal signal correlation power estimation method |
CN111555793B (en) * | 2020-04-10 | 2022-04-12 | 北京控制工程研究所 | Intelligent autonomous timing method and system for satellite wireless communication network |
CN111694028B (en) * | 2020-06-22 | 2022-10-18 | 北京自动化控制设备研究所 | Satellite navigation signal design method based on pseudorandom Chirp |
CN112213742B (en) * | 2020-06-30 | 2024-05-31 | 中国科学院国家授时中心 | Signal quality monitoring method for satellite navigation system |
CN111934792B (en) * | 2020-06-30 | 2023-03-17 | 中国科学院国家授时中心 | Service performance testing method for Beidou satellite navigation signal quality evaluation |
CN111929710B (en) * | 2020-06-30 | 2022-10-28 | 中国科学院国家授时中心 | Delivery test method for Beidou satellite navigation signal quality assessment |
CN112327332A (en) * | 2020-11-06 | 2021-02-05 | 江苏集萃未来城市应用技术研究所有限公司 | Pseudo satellite signal quality analysis device and method based on USRP |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102571652A (en) * | 2012-01-13 | 2012-07-11 | 中国科学院国家授时中心 | Method for estimating global navigation satellite system (GNSS) baseband signal |
CN103033824A (en) * | 2012-12-18 | 2013-04-10 | 中国科学院国家授时中心 | High-performance navigational satellite space signal quality assessment method |
-
2013
- 2013-05-02 CN CN201310158618.6A patent/CN103278825B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102571652A (en) * | 2012-01-13 | 2012-07-11 | 中国科学院国家授时中心 | Method for estimating global navigation satellite system (GNSS) baseband signal |
CN103033824A (en) * | 2012-12-18 | 2013-04-10 | 中国科学院国家授时中心 | High-performance navigational satellite space signal quality assessment method |
Non-Patent Citations (1)
Title |
---|
北斗导航信号源发展现状分析;谢金石;《全球定位系统》;20121031;第37卷(第5期);第54页图2,左栏倒数第2段 * |
Also Published As
Publication number | Publication date |
---|---|
CN103278825A (en) | 2013-09-04 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103278825B (en) | Method for determining satellite navigation signal quality evaluation parameters | |
US9880284B2 (en) | RF signal alignment calibration | |
CN103033824B (en) | High-performance navigational satellite space signal quality assessment method | |
CN101726746B (en) | Intermediate frequency direct sequence spread spectrum receiver for satellite ranging | |
CN102426368B (en) | Losing lock detection method based on extended Kalman filter tracking loop in GPS receiver | |
CN101902288B (en) | Method for measuring delay of direct sequence spread spectrum binary phase shift keying modulator | |
CN107566061B (en) | Microwave second-level time delay calibration system | |
US7453925B2 (en) | Phase multi-path mitigation | |
CN109782314B (en) | GNSS satellite signal receiving hierarchical processing simulation experiment platform | |
CN109100757A (en) | A kind of method for evaluating quality of New Satellite navigation signal | |
CN103116038B (en) | A kind of method utilizing satellite receiver carrier tracking loop acceleration measurement | |
CN101216549B (en) | Medium-high frequency wave spread-spectrum navigation system distance observed quantity extraction method | |
CN104459743B (en) | Carrier phase offset determination methods between a kind of coherent multicarrier modulated signal component | |
CN104486279B (en) | A kind of direct modulators modulate characteristic test method of UQPSK microwaves | |
CN102590835A (en) | GPS/INS tightly integrated tracking loop Gauss code phase discriminator and design method thereof | |
CN111929706A (en) | On-orbit testing method for Beidou satellite navigation signal quality evaluation | |
CN102692633B (en) | Satellite radio navigation service channel zero-value calibration system | |
CN107272026B (en) | A kind of navigation signal component phase test bias method | |
CN111934792A (en) | Service performance testing method for Beidou satellite navigation signal quality evaluation | |
CN105204037B (en) | A kind of long code spreads distance measuring signal associated loss method of testing | |
CN106291612A (en) | A kind of aeronautical satellite inter-satellite link wireless signal high-performance prize judgment method | |
CN115567125A (en) | Multichannel calibration and signal coherent recovery method and device for broadband channelization reception | |
JP6706579B2 (en) | Improvement of satellite positioning method | |
CN105807291A (en) | Time delay calibration method for AltBOC signal | |
CN102299880B (en) | Method for calculating modulation signal phase characteristic |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |